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2006.08950
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Federated Accelerated Stochastic Gradient Descent
16 June 2020
Honglin Yuan
Tengyu Ma
FedML
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Papers citing
"Federated Accelerated Stochastic Gradient Descent"
50 / 84 papers shown
On the Convergence and Stability of Distributed Sub-model Training
Yuyang Deng
Fuli Qiao
M. Mahdavi
FedML
259
0
0
08 Nov 2025
Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration
Ahmed Khaled
Satyen Kale
Arthur Douillard
Chi Jin
Rob Fergus
Manzil Zaheer
295
3
0
12 Sep 2025
Accelerated Training of Federated Learning via Second-Order Methods
Mrinmay Sen
Sidhant R Nair
C Krishna Mohan
FedML
258
0
0
29 May 2025
Collaborative Bayesian Optimization via Wasserstein Barycenters
Donglin Zhan
Huatian Zhang
Rhonda Righter
Zeyu Zheng
James Anderson
252
3
0
15 Apr 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
Changchang Yin
Hong-You Chen
Wei-Lun Chao
Ping Zhang
CML
244
1
0
06 Mar 2025
Analysis of regularized federated learning
Langming Liu
Dingxuan Zhou
FedML
176
4
0
03 Nov 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
Neural Information Processing Systems (NeurIPS), 2024
Ziwei Li
Xiaoqi Wang
Hong-You Chen
Han-Wei Shen
Wei-Lun Chao
FedML
458
1
0
17 Sep 2024
The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024
Jiating Ma
Yipeng Zhou
Qi Li
Quan Z. Sheng
Laizhong Cui
Jiangchuan Liu
FedML
272
5
0
16 Aug 2024
Stabilized Proximal-Point Methods for Federated Optimization
Xiaowen Jiang
Anton Rodomanov
Sebastian U. Stich
FedML
337
11
0
09 Jul 2024
FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning
Liuzhi Zhou
Yu He
Kun Zhai
Xiang Liu
Sen Liu
Jiabo He
Guangnan Ye
Yu-Gang Jiang
Hongfeng Chai
FedML
201
8
0
20 May 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
Kumar Kshitij Patel
Margalit Glasgow
Ali Zindari
Lingxiao Wang
Sebastian U. Stich
Ziheng Cheng
Nirmit Joshi
Nathan Srebro
332
13
0
19 May 2024
FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks
IEEE Internet of Things Journal (IEEE IoT J.), 2024
Yaya Etiabi
Wafa Njima
El-Mehdi Amhoud
284
13
0
17 May 2024
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach
Bin Wang
Jun Fang
Hongbin Li
Yonina C. Eldar
FedML
274
4
0
28 Feb 2024
Distributed Personalized Empirical Risk Minimization
Neural Information Processing Systems (NeurIPS), 2023
Yuyang Deng
Mohammad Mahdi Kamani
Pouria Mahdavinia
M. Mahdavi
362
6
0
26 Oct 2023
Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2023
Richard Heusdens
Guoqiang Zhang
408
15
0
22 Sep 2023
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data
Hao Sun
Li Shen
Shi-Yong Chen
Jingwei Sun
Jing Li
Guangzhong Sun
Dacheng Tao
FedML
241
2
0
18 Sep 2023
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
M. Akhtar
Muhammad Tanveer
Mohd. Arshad
351
32
0
05 Sep 2023
FedFwd: Federated Learning without Backpropagation
Seonghwan Park
Dahun Shin
Jinseok Chung
Namhoon Lee
FedML
287
6
0
03 Sep 2023
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Yiping Ma
Jess Woods
Sebastian Angel
Antigoni Polychroniadou
T. Rabin
FedML
380
91
0
19 Aug 2023
Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients
Yao Shu
Xiaoqiang Lin
Zhongxiang Dai
Bryan Kian Hsiang Low
FedML
393
11
0
08 Aug 2023
Federated Learning on Non-iid Data via Local and Global Distillation
Xiaolin Zheng
Senci Ying
Fei Zheng
Jianwei Yin
Longfei Zheng
Chaochao Chen
Fengqin Dong
FedML
243
11
0
26 Jun 2023
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Zhenyu Sun
Xiaochun Niu
Ermin Wei
FedML
MLT
288
35
0
06 Jun 2023
Federated Composite Saddle Point Optimization
Site Bai
Brian Bullins
FedML
220
0
0
25 May 2023
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework
International Workshop on Quality of Service (IWQoS), 2023
Xinjing Yuan
Lingjun Pu
Lei Jiao
Xiaofei Wang
Mei Yang
Jingdong Xu
FedML
197
11
0
22 May 2023
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
Neural Information Processing Systems (NeurIPS), 2023
Kfir Y. Levy
Kfir Y. Levy
FedML
292
4
0
09 Apr 2023
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
Rahul Singh
A. Shukla
Dootika Vats
254
0
0
14 Mar 2023
Making Batch Normalization Great in Federated Deep Learning
Shitian Zhao
Hong-You Chen
Wei-Lun Chao
FedML
645
13
0
12 Mar 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
Neural Information Processing Systems (NeurIPS), 2023
Anastasia Koloskova
Ryan McKenna
Zachary B. Charles
Keith Rush
Brendan McMahan
635
18
0
02 Feb 2023
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression
Wenquan Cui
Yue Zhao
Jianjun Xu
Haoyang Cheng
FedML
219
2
0
23 Jan 2023
Accelerating Fair Federated Learning: Adaptive Federated Adam
IEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2023
Li Ju
Tianru Zhang
Salman Toor
Andreas Hellander
FedML
110
33
0
23 Jan 2023
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals
Rui Song
Liguo Zhou
Lingjuan Lyu
Andreas Festag
Alois Knoll
FedML
247
5
0
11 Dec 2022
Adaptive Federated Minimax Optimization with Lower Complexities
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Feihu Huang
Xinrui Wang
Junyi Li
Songcan Chen
FedML
468
5
0
14 Nov 2022
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization
Feihu Huang
FedML
278
2
0
03 Nov 2022
Fast Adaptive Federated Bilevel Optimization
Feihu Huang
FedML
423
7
0
02 Nov 2022
Federated Bayesian Computation via Piecewise Deterministic Markov Processes
J. Bierkens
Andrew Duncan
FedML
205
1
0
25 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions
IEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
423
72
0
24 Oct 2022
DPAUC: Differentially Private AUC Computation in Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jiankai Sun
Xin Yang
Yuanshun Yao
Junyuan Xie
Di Wu
Chong-Jun Wang
FedML
216
14
0
25 Aug 2022
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Rui Song
Dai Liu
Da Chen
Andreas Festag
Carsten Trinitis
Martin Schulz
Alois C. Knoll
DD
FedML
365
86
0
24 Aug 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
FedML
318
20
0
16 Aug 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Yan Huang
Qihang Lin
N. Street
Stephen Seung-Yeob Baek
FedML
239
10
0
21 Jul 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning
International Conference on Machine Learning (ICML), 2022
Yajie Bao
M. Crawshaw
Sha Luo
Mingrui Liu
FedML
262
20
0
17 Jul 2022
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
Xinteng Ma
Renyi Bao
Jinpeng Jiang
Yang Liu
Arthur Jiang
Junhua Yan
Xin Liu
Zhisong Pan
FedML
297
8
0
20 Jun 2022
Federated Data Analytics: A Study on Linear Models
IISE Transactions (IISE Trans.), 2022
Xubo Yue
Raed Al Kontar
Ana María Estrada Gómez
FedML
251
21
0
15 Jun 2022
Anchor Sampling for Federated Learning with Partial Client Participation
International Conference on Machine Learning (ICML), 2022
Feijie Wu
Song Guo
Zhihao Qu
Shiqi He
Ziming Liu
Jing Gao
FedML
275
27
0
13 Jun 2022
Confederated Learning: Federated Learning with Decentralized Edge Servers
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Bin Wang
Jun Fang
Hongbin Li
Xiaojun Yuan
Qing Ling
FedML
296
33
0
30 May 2022
Differentially Private AUC Computation in Vertical Federated Learning
Jiankai Sun
Xin Yang
Yuanshun Yao
Junyuan Xie
Di Wu
Chong-Jun Wang
FedML
196
5
0
24 May 2022
Over-the-Air Federated Learning via Second-Order Optimization
IEEE Transactions on Wireless Communications (TWC), 2022
Peng Yang
Yuning Jiang
Ting Wang
Yong Zhou
Yuanming Shi
Colin N. Jones
402
35
0
29 Mar 2022
The Role of Local Steps in Local SGD
Optimization Methods and Software (OMS), 2022
Tiancheng Qin
S. Rasoul Etesami
César A. Uribe
332
5
0
14 Mar 2022
Private Non-Convex Federated Learning Without a Trusted Server
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Andrew Lowy
Ali Ghafelebashi
Meisam Razaviyayn
FedML
384
34
0
13 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training
International Conference on Learning Representations (ICLR), 2022
Chencheng Xu
Zhiwei Hong
Shiyu Huang
Tao Jiang
FedML
248
59
0
05 Mar 2022
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